Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A Method for Automatically Replacing Reference Photos According to Similarity Concentration

A technology of concentration and similarity, applied in the field of face recognition, can solve the problem of not being able to recognize faces, and achieve the effect of facilitating face recognition

Inactive Publication Date: 2019-09-17
江苏四一五安全科技有限公司
View PDF14 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The traditional face recognition technology is to compare the recognized face with the known face saved by the system. If the saved face is different, there may be a risk that the face cannot be recognized, and I need to find relevant personnel to take the latest photos

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Method for Automatically Replacing Reference Photos According to Similarity Concentration

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] Such as figure 1 Shown, the present invention comprises the following steps:

[0017] Step 1. Build a database in the system; a photo archive module and a photo comparison module are arranged in the database; data transmission can be carried out between the photo comparison module and the photo archive module;

[0018] Step 2. When the relevant personnel log in to the system for the first time, the system will take a photo of the relevant personnel, and this photo will be automatically uploaded to the photo archive module as a reference photo;

[0019] Step 3. The relevant person starts the process of multiple logins. At each login, the system will first recognize the face of the relevant person, and compare the recognized image with the reference photo in step 2. If the similarity reaches the specified value, The relevant personnel log into the system, and the recognized image is stored in the photo comparison module; if the similarity does not reach the specified val...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a method for automatically replacing a reference photo according to similarity concentration, comprising the following steps: Step 1, constructing a database in the system; a photo archiving module, a photo comparison module, and a photo replacement module are set in the database; Step 2 1. When the relevant personnel log in to the system for the first time, the system will take a photo of the relevant personnel as a reference photo; step 3, the relevant personnel start the multiple login process; at each login, the system will recognize the face of the relevant personnel, and the recognized image and If the similarity reaches the specified value, the relevant personnel will log into the system; step 4, when the number of successful logins of the relevant personnel in step 3 reaches the system specified value, the images stored in the photo comparison module will be Automatically compare and identify a photo with the highest similarity concentration among all images as a new benchmark photo. The invention can perform face recognition faster, more accurately and more conveniently.

Description

technical field [0001] The invention relates to face recognition technology, in particular to a method for automatically replacing a reference photo according to similar concentration. Background technique [0002] The traditional face recognition technology is based on human facial features. For the input face image or video stream: first judge whether there is a face, if there is a face, then further give the position, size and location of each face. Location information for each major facial organ. Based on this information, the identity features contained in each face are further extracted, and compared with known faces, so as to identify the identity of each face. [0003] The traditional face recognition technology is to compare the recognized face with the known face saved by the system. If the saved face is different, there may be a risk that the face cannot be recognized, and I need to find the relevant person to take the latest photo. Contents of the invention ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/161G06V40/173
Inventor 胡安斌王峰徐卓慧
Owner 江苏四一五安全科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com